Victor Adrian Prisacariu

University of Oxford

Papers

4

Total Citations

315

H-Index

4

About

Victor Adrian Prisacariu is a leading researcher in computer vision and robotics, with a focus on dense 3D reconstruction, semantic scene understanding, and assistive technologies. His major contributions include pioneering work on incremental dense semantic stereo fusion for large-scale scene reconstruction, which enables robots to perceive and interpret complex environments in real time. This work, cited over 200 times, has been foundational for mixed reality and autonomous systems. Prisacariu also advanced neural volume fusion with BNV-Fusion, a bi-level approach that improves the balance between memory efficiency and reconstruction quality in dense 3D mapping. Beyond technical innovation, he has applied his expertise to socially impactful projects, such as the MoveCare initiative, which integrates social assistive robots, IoT, and virtual communities to support independent living for elderly individuals. This interdisciplinary work highlights his commitment to translating cutting-edge research into real-world solutions for aging populations. With a strong publication record and high citation impact, Prisacariu continues to shape the fields of 3D vision and human-robot interaction, inspiring students and researchers to push the boundaries of what intelligent systems can achieve.

Research Focus

Key Achievements

4
H-Index
4
Papers
315
Total Citations
79
Avg Citations/Paper
🏆 Most Cited Paper
Incremental dense semantic stereo fusion for large-scale semantic scene reconstruction
209 citations · 2015
📈 Most Prolific Year: 2022 (3 Papers)
🤝 Key Collaborators: 28
🏛 Institutions: University of Oxford

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago